Number of studies combined: k = 90
Number of observations: o = 824837
Number of events: e = 38080
proportion 95%-CI
Common effect model 0.0405 [0.0401; 0.0410]
Random effects model 0.0474 [0.0404; 0.0549]
Quantifying heterogeneity:
tau^2 = 0.0066 [0.0053; 0.0119]; tau = 0.0813 [0.0730; 0.1091]
I^2 = 99.5% [99.5%; 99.6%]; H = 14.85 [14.43; 15.28]
Test of heterogeneity:
Q d.f. p-value
19621.14 89 0
Results for subgroups (common effect model):
k proportion 95%-CI Q I^2
WHO Region = European Region 68 0.0506 [0.0495; 0.0517] 4308.80 98.4%
WHO Region = Region of the Americas 11 0.0116 [0.0110; 0.0121] 936.69 98.9%
WHO Region = Western Pacific Region 10 0.0495 [0.0489; 0.0501] 7756.42 99.9%
WHO Region = African Region 1 0.0300 [0.0276; 0.0325] 0.00 --
Test for subgroup differences (common effect model):
Q d.f. p-value
Between groups 6619.23 3 0
Within groups 13001.91 86 0
Results for subgroups (random effects model):
k proportion 95%-CI tau^2 tau
WHO Region = European Region 68 0.0563 [0.0471; 0.0662] 0.0074 0.0861
WHO Region = Region of the Americas 11 0.0139 [0.0085; 0.0207] 0.0019 0.0435
WHO Region = Western Pacific Region 10 0.0403 [0.0247; 0.0595] 0.0051 0.0711
WHO Region = African Region 1 0.0300 [0.0276; 0.0325] -- --
Test for subgroup differences (random effects model):
Q d.f. p-value
Between groups 57.01 3 < 0.0001
Details on meta-analytical method:
- Inverse variance method
- DerSimonian-Laird estimator for tau^2
- Jackson method for confidence interval of tau^2 and tau
- Freeman-Tukey double arcsine transformation

##LIFETIME USE PLOT
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